Data Scientist - Applied AI/ML

JPMorgan Chase & Co.; Metro Manila; On-site; PHP 2,581,960 - 4,195,685; Full time

Job summary

JPMorganChase in Bengaluru is seeking a Senior Associate in Applied Artificial Intelligence and Machine Learning within Shared Services to design and deploy predictive models, advanced analytics, and large language model workflows that integrate into business processes.

You will own end-to-end model delivery, build reusable services, collaborate with product and risk teams, and ensure governance and responsible AI practices across the lifecycle.

Qualifications

• Bachelor''s degree in data science, computer science, statistics, mathematics, or a related technical field (or equivalent practical experience)
• Three years of experience delivering end-to-end AI or ML solutions from prototype to production deployment
• Strong Python proficiency for data analysis, modeling, and production implementation
• Experience building, evaluating, and deploying predictive models using libraries such as PyTorch, TensorFlow, or scikit-learn
• Experience building and deploying large language model workflows with retrieval-augmented generation and tool calls
• Experience operating production pipelines with versioning, CD, monitoring and incident hygiene
• Working knowledge of cloud and containerized environments (AWS, Azure, GCP, Kubernetes)
• Strong communication skills translating business problems into technical outcomes

Responsibilities

• Design, develop, and deploy predictive ML, analytics, and generative AI solutions for complex business problems
• Build and integrate agentic workflows into end-to-end business processes
• Prototype AI-enabled approaches and harden prototypes into production-ready services with measurable outcomes
• Own end-to-end model delivery including dataset prep, feature engineering, training, validation, deployment
• Design, deploy, and operate production pipelines and services with monitoring and cost improvements
• Partner with product, engineering, and risk stakeholders to define requirements and drive adoption
• Apply responsible AI and governance practices across model and agent lifecycles
• Contribute reusable patterns and libraries to accelerate delivery across teams

Skills

Python proficiency

Data analysis

Machine learning

NLP

Communication

Cloud / containers

Production pipelines

Education

Bachelor's degree in data science, CS, stats, math or related field

Tools

PyTorch

TensorFlow

scikit-learn

AWS

Azure

GCP

Kubernetes

Job description

Job Information

• Job Identification 210766891
• Job Category Predictive Science
• Business Unit Consumer & Community Banking
• Posting Date 07/07/2026, 01:33 PM
• Locations Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, IN
• Apply Before 07/31/2026, 04:00 AM
• Job Schedule Full time
• Job Shift Mid-Day

Job Description

Join a world-class Applied AI/ML organization at JPMorganChase and help shape how teams across the firm use data science, machine learning, and Generative AI to solve real business problems.

As a Senior Associate in Applied Artificial Intelligence and Machine Learning within Shared Services, you design and deploy predictive models, advanced analytics, and large language model agentic solutions that orchestrate tools and workflows inside business processes. You wil build reusable services that teams can adopt to improve risk assessment support, legal and regulatory change mapping, control design and testing, sustainable monitoring, issue tracking, and governance reporting.

Job Responsibilities

• Design, develop, and deploy predictive machine learning, advanced analytics, and generative AI solutions for complex business problems
• Build and integrate agentic workflows into end-to-end business processes, including retrieval-augmented generation, tool or function calling, routing, and structured outputs
• Prototype AI-enabled approaches quickly and harden successful prototypes into reusable, production-ready services with measurable outcomes
• Own end-to-end model delivery, including dataset preparation, feature engineering, training, validation, evaluation, deployment, and iteration
• Design, deploy, and operate production pipelines and services (batch and real-time), including monitoring, retraining strategies, and reliability and cost improvements
• Partner with product, engineering, and risk and controls stakeholders to define requirements, align on success metrics, and drive adoption
• Apply responsible AI and governance-aligned practices across the model and agent lifecycle, including evaluation, guardrails, and documentation
• Contribute reusable patterns, templates, and libraries that accelerate delivery across teams

Required qualifications, capabilities, and skills

• Bachelor’s degree in data science, computer science, statistics, mathematics, or a related technical field (or equivalent practical experience)
• Three years of experience delivering end-to-end AI or machine learning solutions from prototype to production (or production-like) deployment
• Strong Python proficiency for data analysis, modeling, and production implementation
• Experience building, evaluating, and deploying predictive models (for example, classification, regression, or natural language processing) using common libraries (for example, PyTorch, TensorFlow, or scikit-learn)
• Experience building and deploying large language model workflows that include retrieval-augmented generation and tool or function calling
• Experience defining and using an evaluation approach for large language model solutions (for example, test sets, regression tests, or structured human review)
• Experience operating production pipelines or services, including versioning, continuous delivery practices, monitoring and alerting, and incident hygiene
• Working knowledge of cloud and or containerized environments (for example, Amazon Web Services, Microsoft Azure, Google Cloud Platform, or Kubernetes)
• Strong communication skills, including the ability to translate business problems into measurable technical outcomes and explain results to diverse audiences

Preferred qualifications, capabilities, and skills

• Publications, patents, or meaningful open-source contributions related to machine learning or generative AI
• Experience scaling agentic systems across multiple use cases, including mature evaluation practices and quality dashboards
• Experience implementing guardrail patterns and operating controls for generative AI features in production
• Experience with large-scale data processing and cloud data services, and exposure to performance optimization for model serving
• Experience in financial services or other regulated industries, including comfort operating within governance and change management expectations
• Experience with specialized domains such as search and ranking, recommender systems, graph machine learning, or knowledge graphs

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation.

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.